A nonparametric sequential selection procedure
作者:
Khursheed Alam,
K.B. Kulasekera,
期刊:
Sequential Analysis
(Taylor Available online 1993)
卷期:
Volume 12,
issue 3-4
页码: 271-288
ISSN:0747-4946
年代: 1993
DOI:10.1080/07474949308836286
出版商: Marcel Dekker, Inc.
关键词: Sequential Selection;Rank Statistics;Stochastic Ordering
数据来源: Taylor
摘要:
There are given k stochastically ordered populations. A sequential sampling procedure (S) is proposed for selecting the population associated with the largest rank in the ordering. Observations are taken one at a time from each of the k populations. The procedure S allows for a specified maximum number (M) of observations to be taken from each population. The stage N at which the sampling is stopped depends on the choice of a parameter c. The choice of c is based on a trade-off between the expected number of observations and the probability of a correct selection (PCS). A table is given showing the values of c, the associated values of the PCS and the expected sample number, based on the asymptotic properties of S when M is large. Empirical results are given, based on a simulation study of the small sample properties of S.
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